Artificial neural network – Genetic algorithm to optimize wheat germ fermentation condition: Application to the production of two anti-tumor benzoquinones

Food Chemistry

Volumn 227, Issue , 2017, Pages 264-270

  Zheng, Zi Yi ^a   Guo, Xiao Na ^a   Zhu, Ke Xue ^a   Peng, Wei ^a   Zhou, Hui Ming ^a  

^a JIANGNAN UNIVERSITY   (China)

Author keywords

Artificial neural network; Benzoquinones; Fermentation; Second order interactions; Wheat germ

Indexed keywords

FERMENTATION; GENETIC ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; TRACE ELEMENTS; VITAMINS;

BENZOQUINONES; FERMENTATION CONDITIONS; FERMENTATION PROCESS; LEVENBERG-MARQUARDT TRAINING ALGORITHM; MODELING AND OPTIMIZATION; NONLINEAR INTERACTIONS; SECOND-ORDER INTERACTION; WHEAT GERM;

NUTRIENTS;

2,6 DIMETHOXY RHO BENZOQUINONE; ANTINEOPLASTIC AGENT; ASCORBIC ACID; BENZOQUINONE DERIVATIVE; CALCIUM; COPPER; CYANOCOBALAMIN; IRON; MAGNESIUM; MANGANESE; MENADIONE; METHOXY RHO BENZOQUINONE; NICOTINAMIDE; PANTOTHENIC ACID; PYRIDOXINE; RIBOFLAVIN; SELENIUM; THIAMINE; UNCLASSIFIED DRUG; VITAMIN; VITAMIN K5; ZINC;

ARTICLE; ARTIFICIAL NEURAL NETWORK; FERMENTATION; GENETIC ALGORITHM; MACRONUTRIENT; NONLINEAR SYSTEM; NUTRIENT CONTENT; WHEAT GERM; ALGORITHM; CHEMISTRY; GENETICS; METABOLISM; WHEAT;

ALGORITHMS; ANTINEOPLASTIC AGENTS; BENZOQUINONES; FERMENTATION; NEURAL NETWORKS (COMPUTER); TRITICUM;

EID: 85010817822     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2017.01.077     Document Type: Article

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